Zobrazeno 1 - 10
of 3 333
pro vyhledávání: '"GU, Jing"'
Hyperbolic neural networks (HNNs) have been proved effective in modeling complex data structures. However, previous works mainly focused on the Poincar\'e ball model and the hyperboloid model as coordinate representations of the hyperbolic space, oft
Externí odkaz:
http://arxiv.org/abs/2410.16813
Autor:
Cai, Mu, Tan, Reuben, Zhang, Jianrui, Zou, Bocheng, Zhang, Kai, Yao, Feng, Zhu, Fangrui, Gu, Jing, Zhong, Yiwu, Shang, Yuzhang, Dou, Yao, Park, Jaden, Gao, Jianfeng, Lee, Yong Jae, Yang, Jianwei
Understanding fine-grained temporal dynamics is crucial for multimodal video comprehension and generation. Due to the lack of fine-grained temporal annotations, existing video benchmarks mostly resemble static image benchmarks and are incompetent at
Externí odkaz:
http://arxiv.org/abs/2410.10818
Autor:
Zheng, Kaizhi, Chen, Xiaotong, He, Xuehai, Gu, Jing, Li, Linjie, Yang, Zhengyuan, Lin, Kevin, Wang, Jianfeng, Wang, Lijuan, Wang, Xin Eric
Given the steep learning curve of professional 3D software and the time-consuming process of managing large 3D assets, language-guided 3D scene editing has significant potential in fields such as virtual reality, augmented reality, and gaming. Howeve
Externí odkaz:
http://arxiv.org/abs/2410.12836
Autor:
Du, Jiangshu, Wang, Yibo, Zhao, Wenting, Deng, Zhongfen, Liu, Shuaiqi, Lou, Renze, Zou, Henry Peng, Venkit, Pranav Narayanan, Zhang, Nan, Srinath, Mukund, Zhang, Haoran Ranran, Gupta, Vipul, Li, Yinghui, Li, Tao, Wang, Fei, Liu, Qin, Liu, Tianlin, Gao, Pengzhi, Xia, Congying, Xing, Chen, Cheng, Jiayang, Wang, Zhaowei, Su, Ying, Shah, Raj Sanjay, Guo, Ruohao, Gu, Jing, Li, Haoran, Wei, Kangda, Wang, Zihao, Cheng, Lu, Ranathunga, Surangika, Fang, Meng, Fu, Jie, Liu, Fei, Huang, Ruihong, Blanco, Eduardo, Cao, Yixin, Zhang, Rui, Yu, Philip S., Yin, Wenpeng
This work is motivated by two key trends. On one hand, large language models (LLMs) have shown remarkable versatility in various generative tasks such as writing, drawing, and question answering, significantly reducing the time required for many rout
Externí odkaz:
http://arxiv.org/abs/2406.16253
Autor:
Gu, Jing, Fang, Yuwei, Skorokhodov, Ivan, Wonka, Peter, Du, Xinya, Tulyakov, Sergey, Wang, Xin Eric
Video editing is a cornerstone of digital media, from entertainment and education to professional communication. However, previous methods often overlook the necessity of comprehensively understanding both global and local contexts, leading to inaccu
Externí odkaz:
http://arxiv.org/abs/2406.12831
AI Collaborator, powered by OpenAI's GPT-4, is a groundbreaking tool designed for human-AI collaboration research. Its standout feature is the ability for researchers to create customized AI personas for diverse experimental setups using a user-frien
Externí odkaz:
http://arxiv.org/abs/2405.10460
Autor:
Yu, Yanqiu, She, Rui, Luo, Sitong, Xin, Meiqi, Li, Lijuan, Wang, Suhua, Ma, Le, Tao, Fangbiao, Zhang, Jianxin, Zhao, Junfeng, Li, Liping, Hu, Dongsheng, Zhang, Guohua, Gu, Jing, Lin, Danhua, Wang, Hongmei, Cai, Yong, Wang, Zhaofen, You, Hua, Hu, Guoqing, Lau, Joseph Tak-Fai
Publikováno v:
JMIR Mental Health, Vol 8, Iss 2, p e22705 (2021)
BackgroundThe COVID-19 epidemic may elevate mental distress and depressive symptoms in various populations in China. ObjectiveThis study investigates the levels of depression and mental distress due to COVID-19, and the associations between cognitiv
Externí odkaz:
https://doaj.org/article/93f0e1f099a140d98263111bd0dcdfe1
Autor:
Zheng, Zhi-Wei, Yang, Qing-Ling, Liu, Zhong-Qi, Qiu, Jia-Ling, Gu, Jing, Hao, Yuan-Tao, Song, Chao, Jia, Zhong-Wei, Hao, Chun
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 3, p e18135 (2020)
Externí odkaz:
https://doaj.org/article/8833415be71b402b9b95960b8e4ffb94
Autor:
Gu, Jing, Zhao, Nanxuan, Xiong, Wei, Liu, Qing, Zhang, Zhifei, Zhang, He, Zhang, Jianming, Jung, HyunJoon, Wang, Yilin, Wang, Xin Eric
Effective editing of personal content holds a pivotal role in enabling individuals to express their creativity, weaving captivating narratives within their visual stories, and elevate the overall quality and impact of their visual content. Therefore,
Externí odkaz:
http://arxiv.org/abs/2404.05717
Autor:
Gu, Jing, Zou, Dongmian
Graph anomaly detection plays a vital role for identifying abnormal instances in complex networks. Despite advancements of methodology based on deep learning in recent years, existing benchmarking approaches exhibit limitations that hinder a comprehe
Externí odkaz:
http://arxiv.org/abs/2403.04010